A noise removal algorithm for LIDAR intensity image based on orientation gradient and weighted threshold

Shengwang Zhang; Youchan Wan

doi:10.1117/12.725449

Translator Disclaimer

11 January 2007 A noise removal algorithm for LIDAR intensity image based on orientation gradient and weighted threshold

Shengwang Zhang, Youchan Wan

Author Affiliations +

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62792R (2007) https://doi.org/10.1117/12.725449
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

In this paper, an algorithm of LIDAR intensity image noise removal based on orientation gradient and weighted threshold is proposed on the analysis of LIDAR imaging mechanism. It detects and removes the noise in LIDAR intensity image based on the orientation gradient of the ground got from LIDAR distance information, during which weighted threshold is adopted to calculate the threshold automatically. Experiments prove that this filter can detect and remove the noise effectively and preserve the edge information of Intensity Image better.

Citation Download Citation

Shengwang Zhang and Youchan Wan "A noise removal algorithm for LIDAR intensity image based on orientation gradient and weighted threshold", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62792R (11 January 2007); https://doi.org/10.1117/12.725449

ACCESS THE FULL ARTICLE